import warnings
from typing import Union, Iterable, TextIO, Dict, Optional

import numpy as np

from ...clients.base import InputType, InputDeleteType, CallbackFnType
from ...enums import DataInputType
from ...helper import deprecated_alias


class CRUDFlowMixin:
    """The synchronous version of the Mixin for CRUD in Flow"""

    @deprecated_alias(input_fn=('inputs', 0))
    def train(
        self,
        inputs: InputType,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Do training on the current Flow

        :param inputs: An iterator of bytes. If not given, then you have to specify it in **kwargs**.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        warnings.warn(f'{self.train} is under heavy refactoring', FutureWarning)
        return self._get_client(**kwargs).train(
            inputs, on_done, on_error, on_always, **kwargs
        )

    @deprecated_alias(
        input_fn=('inputs', 0),
        buffer=('inputs', 1),
        callback=('on_done', 1),
        output_fn=('on_done', 1),
    )
    def index_ndarray(
        self,
        array: 'np.ndarray',
        axis: int = 0,
        size: Optional[int] = None,
        shuffle: bool = False,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Using numpy ndarray as the index source for the current Flow

        :param array: the numpy ndarray data source
        :param axis: iterate over that axis
        :param size: the maximum number of the sub arrays
        :param shuffle: shuffle the the numpy data source beforehand
        :param on_done: the callback function to invoke after indexing
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        from ...clients.sugary_io import _input_ndarray

        return self._get_client(**kwargs).index(
            _input_ndarray(array, axis, size, shuffle),
            on_done,
            on_error,
            on_always,
            data_type=DataInputType.CONTENT,
            **kwargs,
        )

    @deprecated_alias(
        input_fn=('inputs', 0),
        buffer=('inputs', 1),
        callback=('on_done', 1),
        output_fn=('on_done', 1),
    )
    def search_ndarray(
        self,
        array: 'np.ndarray',
        axis: int = 0,
        size: Optional[int] = None,
        shuffle: bool = False,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Use a numpy ndarray as the query source for searching on the current Flow

        :param array: the numpy ndarray data source
        :param axis: iterate over that axis
        :param size: the maximum number of the sub arrays
        :param shuffle: shuffle the the numpy data source beforehand
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        """
        from ...clients.sugary_io import _input_ndarray

        self._get_client(**kwargs).search(
            _input_ndarray(array, axis, size, shuffle),
            on_done,
            on_error,
            on_always,
            data_type=DataInputType.CONTENT,
            **kwargs,
        )

    @deprecated_alias(
        input_fn=('inputs', 0),
        buffer=('inputs', 1),
        callback=('on_done', 1),
        output_fn=('on_done', 1),
    )
    def index_lines(
        self,
        lines: Optional[Union[Iterable[str], TextIO]] = None,
        filepath: Optional[str] = None,
        size: Optional[int] = None,
        sampling_rate: Optional[float] = None,
        read_mode: str = 'r',
        line_format: str = 'json',
        field_resolver: Optional[Dict[str, str]] = None,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Use a list of lines as the index source for indexing on the current Flow
        :param lines: a list of strings, each is considered as d document
        :param filepath: a text file that each line contains a document
        :param size: the maximum number of the documents
        :param sampling_rate: the sampling rate between [0, 1]
        :param read_mode: specifies the mode in which the file
                is opened. 'r' for reading in text mode, 'rb' for reading in binary
        :param line_format: the format of each line: ``json`` or ``csv``
        :param field_resolver: a map from field names defined in ``document`` (JSON, dict) to the field
            names defined in Protobuf. This is only used when the given ``document`` is
            a JSON string or a Python dict.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        from ...clients.sugary_io import _input_lines

        return self._get_client(**kwargs).index(
            _input_lines(
                lines,
                filepath,
                size=size,
                sampling_rate=sampling_rate,
                read_mode=read_mode,
                line_format=line_format,
                field_resolver=field_resolver,
            ),
            on_done,
            on_error,
            on_always,
            data_type=DataInputType.AUTO,
            **kwargs,
        )

    def index_ndjson(
        self,
        lines: Union[Iterable[str], TextIO],
        field_resolver: Optional[Dict[str, str]] = None,
        size: Optional[int] = None,
        sampling_rate: Optional[float] = None,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Use a list of lines as the index source for indexing on the current Flow
        :param lines: a list of strings, each is considered as d document
        :param size: the maximum number of the documents
        :param sampling_rate: the sampling rate between [0, 1]
        :param field_resolver: a map from field names defined in ``document`` (JSON, dict) to the field
            names defined in Protobuf. This is only used when the given ``document`` is
            a JSON string or a Python dict.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        from ...clients.sugary_io import _input_ndjson

        return self._get_client(**kwargs).index(
            _input_ndjson(
                lines,
                size=size,
                sampling_rate=sampling_rate,
                field_resolver=field_resolver,
            ),
            on_done,
            on_error,
            on_always,
            data_type=DataInputType.AUTO,
            **kwargs,
        )

    def index_csv(
        self,
        lines: Union[Iterable[str], TextIO],
        field_resolver: Optional[Dict[str, str]] = None,
        size: Optional[int] = None,
        sampling_rate: Optional[float] = None,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Use a list of lines as the index source for indexing on the current Flow
        :param lines: a list of strings, each is considered as d document
        :param size: the maximum number of the documents
        :param sampling_rate: the sampling rate between [0, 1]
        :param field_resolver: a map from field names defined in ``document`` (JSON, dict) to the field
            names defined in Protobuf. This is only used when the given ``document`` is
            a JSON string or a Python dict.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        from ...clients.sugary_io import _input_csv

        return self._get_client(**kwargs).index(
            _input_csv(
                lines,
                size=size,
                sampling_rate=sampling_rate,
                field_resolver=field_resolver,
            ),
            on_done,
            on_error,
            on_always,
            data_type=DataInputType.AUTO,
            **kwargs,
        )

    def search_csv(
        self,
        lines: Union[Iterable[str], TextIO],
        field_resolver: Optional[Dict[str, str]] = None,
        size: Optional[int] = None,
        sampling_rate: Optional[float] = None,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Use a list of lines as the index source for indexing on the current Flow
        :param lines: a list of strings, each is considered as d document
        :param size: the maximum number of the documents
        :param sampling_rate: the sampling rate between [0, 1]
        :param field_resolver: a map from field names defined in ``document`` (JSON, dict) to the field
            names defined in Protobuf. This is only used when the given ``document`` is
            a JSON string or a Python dict.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        from ...clients.sugary_io import _input_csv

        return self._get_client(**kwargs).search(
            _input_csv(
                lines,
                size=size,
                sampling_rate=sampling_rate,
                field_resolver=field_resolver,
            ),
            on_done,
            on_error,
            on_always,
            data_type=DataInputType.AUTO,
            **kwargs,
        )

    @deprecated_alias(
        input_fn=('inputs', 0),
        buffer=('inputs', 1),
        callback=('on_done', 1),
        output_fn=('on_done', 1),
    )
    def index_files(
        self,
        patterns: Union[str, Iterable[str]],
        recursive: bool = True,
        size: Optional[int] = None,
        sampling_rate: Optional[float] = None,
        read_mode: Optional[str] = None,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Use a set of files as the index source for indexing on the current Flow
        :param patterns: The pattern may contain simple shell-style wildcards, e.g. '\*.py', '[\*.zip, \*.gz]'
        :param recursive: If recursive is true, the pattern '**' will match any files and
                    zero or more directories and subdirectories.
        :param size: the maximum number of the files
        :param sampling_rate: the sampling rate between [0, 1]
        :param read_mode: specifies the mode in which the file
                is opened. 'r' for reading in text mode, 'rb' for reading in binary mode
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        from ...clients.sugary_io import _input_files

        return self._get_client(**kwargs).index(
            _input_files(patterns, recursive, size, sampling_rate, read_mode),
            on_done,
            on_error,
            on_always,
            data_type=DataInputType.CONTENT,
            **kwargs,
        )

    @deprecated_alias(
        input_fn=('inputs', 0),
        buffer=('inputs', 1),
        callback=('on_done', 1),
        output_fn=('on_done', 1),
    )
    def search_files(
        self,
        patterns: Union[str, Iterable[str]],
        recursive: bool = True,
        size: Optional[int] = None,
        sampling_rate: Optional[float] = None,
        read_mode: Optional[str] = None,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Use a set of files as the query source for searching on the current Flow
        :param patterns: The pattern may contain simple shell-style wildcards, e.g. '\*.py', '[\*.zip, \*.gz]'
        :param recursive: If recursive is true, the pattern '**' will match any files and
                    zero or more directories and subdirectories.
        :param size: the maximum number of the files
        :param sampling_rate: the sampling rate between [0, 1]
        :param read_mode: specifies the mode in which the file
                is opened. 'r' for reading in text mode, 'rb' for reading in
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        from ...clients.sugary_io import _input_files

        return self._get_client(**kwargs).search(
            _input_files(patterns, recursive, size, sampling_rate, read_mode),
            on_done,
            on_error,
            on_always,
            data_type=DataInputType.CONTENT,
            **kwargs,
        )

    @deprecated_alias(
        input_fn=('inputs', 0),
        buffer=('inputs', 1),
        callback=('on_done', 1),
        output_fn=('on_done', 1),
    )
    def search_lines(
        self,
        lines: Optional[Union[Iterable[str], TextIO]] = None,
        filepath: Optional[str] = None,
        field_resolver: Optional[Dict[str, str]] = None,
        size: Optional[int] = None,
        sampling_rate: Optional[float] = None,
        read_mode: str = 'r',
        line_format: str = 'json',
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Use a list of files as the query source for searching on the current Flow
        :param filepath: a text file that each line contains a document
        :param lines: a list of strings, each is considered as d document
        :param size: the maximum number of the documents
        :param sampling_rate: the sampling rate between [0, 1]
        :param read_mode: specifies the mode in which the file
                is opened. 'r' for reading in text mode, 'rb' for reading in binary
        :param line_format: the format of each line ``json`` or ``csv``
        :param field_resolver: a map from field names defined in ``document`` (JSON, dict) to the field
            names defined in Protobuf. This is only used when the given ``document`` is
            a JSON string or a Python dict.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        from ...clients.sugary_io import _input_lines

        return self._get_client(**kwargs).search(
            _input_lines(
                lines,
                filepath,
                size=size,
                sampling_rate=sampling_rate,
                read_mode=read_mode,
                line_format=line_format,
                field_resolver=field_resolver,
            ),
            on_done,
            on_error,
            on_always,
            data_type=DataInputType.AUTO,
            **kwargs,
        )

    def search_ndjson(
        self,
        lines: Union[Iterable[str], TextIO],
        field_resolver: Optional[Dict[str, str]] = None,
        size: Optional[int] = None,
        sampling_rate: Optional[float] = None,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Use a list of files as the query source for searching on the current Flow
        :param lines: a list of strings, each is considered as d document
        :param size: the maximum number of the documents
        :param sampling_rate: the sampling rate between [0, 1]
        :param field_resolver: a map from field names defined in ``document`` (JSON, dict) to the field
            names defined in Protobuf. This is only used when the given ``document`` is
            a JSON string or a Python dict.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        from ...clients.sugary_io import _input_ndjson

        return self._get_client(**kwargs).search(
            _input_ndjson(
                lines,
                size=size,
                sampling_rate=sampling_rate,
                field_resolver=field_resolver,
            ),
            on_done,
            on_error,
            on_always,
            data_type=DataInputType.AUTO,
            **kwargs,
        )

    @deprecated_alias(
        input_fn=('inputs', 0),
        buffer=('inputs', 1),
        callback=('on_done', 1),
        output_fn=('on_done', 1),
    )
    def index(
        self,
        inputs: InputType,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Do indexing on the current Flow
        :param inputs: An iterator of bytes. If not given, then you have to specify it in **kwargs**.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        return self._get_client(**kwargs).index(
            inputs, on_done, on_error, on_always, **kwargs
        )

    @deprecated_alias(input_fn=('inputs', 0))
    def update(
        self,
        inputs: InputType,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Updates Documents on the current Flow

        :param inputs: An iterator of bytes. If not given, then you have to specify it in **kwargs**.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        """
        self._get_client(**kwargs).update(
            inputs, on_done, on_error, on_always, **kwargs
        )

    def delete(
        self,
        ids: InputDeleteType,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Do deletion on the current Flow

        :param ids: An iterator of bytes. If not given, then you have to specify it in **kwargs**.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        """
        self._get_client(**kwargs).delete(ids, on_done, on_error, on_always, **kwargs)

    @deprecated_alias(
        input_fn=('inputs', 0),
        buffer=('inputs', 1),
        callback=('on_done', 1),
        output_fn=('on_done', 1),
    )
    def search(
        self,
        inputs: InputType,
        on_done: CallbackFnType = None,
        on_error: CallbackFnType = None,
        on_always: CallbackFnType = None,
        **kwargs,
    ):
        """Do searching on the current Flow
        It will start a :py:class:`CLIClient` and call :py:func:`search`.

        :param inputs: An iterator of bytes. If not given, then you have to specify it in **kwargs**.
        :param on_done: the function to be called when the :class:`Request` object is resolved.
        :param on_error: the function to be called when the :class:`Request` object is rejected.
        :param on_always: the function to be called when the :class:`Request` object is  is either resolved or rejected.
        :param kwargs: accepts all keyword arguments of `jina client` CLI
        :return: results
        """
        return self._get_client(**kwargs).search(
            inputs, on_done, on_error, on_always, **kwargs
        )
